Social Network Analysis (SNA) and the Training Process of the Employees of the Federal Institute of Santa Catarina

Abstract

In Brazil, law 8112/90 regulates the training of government officials; therefore, these employees are constantly subjected to processes aimed at improving their training and thus at improving the quality of public service. Social network analysis (SNA) has been widely employed in studies in various fields such as social science, psychology, health, business organization, electronic communications, and epidemiology. The objective of this work is the characterization of the capability indicators of the Federal Institute of Santa Catarina (IFSC) through SNA. In this study, teacher and technician employee data were used in qualification processes such as workplace and postgraduate programs. This information was provided as input to SNA with Degree and PageRank algorithms applied. In terms of quantity, the Florianópolis campus led with the largest number of qualifying employees; linguistics was found to be the most outstanding graduate program. In the administrative technical group, Florianópolis was the largest unit in terms of qualification; education was the most sought-after course. Finally, in the teacher’s group, the Florianópolis campus had the largest number of qualifying teachers, and the most prominent courses were linguistics and computer science. Thus, the use of SNA can help managers offer postgraduate courses with higher demand indices.